Bioinformatics Approaches for Molecular Characterization of CT670 Hypothetical Protein of <em>Chlamydia pneumoniae</em>
Researchers have linked <i>Chlamydia pneumoniae</i> (<i>C. pneumoniae</i>), a type of bacteria that cannot survive outside of cells and is resistant to Gram staining, to many autoimmune diseases. People hypothesized that <i>C. pneumoniae</i> had a harmful function...
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2024-11-01
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| author | Abu Saim Mohammad Saikat Tazin Afrose Umme Saoda Kazi Nur Uddin Mir Monir Hossain Md. Lutful Kabir |
| author_facet | Abu Saim Mohammad Saikat Tazin Afrose Umme Saoda Kazi Nur Uddin Mir Monir Hossain Md. Lutful Kabir |
| author_sort | Abu Saim Mohammad Saikat |
| collection | DOAJ |
| description | Researchers have linked <i>Chlamydia pneumoniae</i> (<i>C. pneumoniae</i>), a type of bacteria that cannot survive outside of cells and is resistant to Gram staining, to many autoimmune diseases. People hypothesized that <i>C. pneumoniae</i> had a harmful function due to its tendency to inhabit human endothelium and epithelial tissue. This study implemented multiple bioinformatics tools and databases to understand the possible function of the CT670 hypothetical protein of <i>C. pneumoniae</i>. The physicochemical parameters showed the protein’s half-life in different media. These parameters also displayed the protein’s theoretical isoelectric point, aliphatic index, GRAVY value, extinction coefficient, instability index, and the amino acids and atoms that it comprises. Amino acid composition measured the percentage of amino acids present in the selected protein, with glutamate demonstrated as the greatest proportion. Moreover, hydrogen was the most abundant ratio in terms of the atomic composition of the protein, followed by carbon, oxygen, nitrogen, and sulfur. The PPI networks reveal its potential primary and secondary interactions with other proteins. We modeled and assessed the secondary and tertiary structures to understand the nature of the selected protein. Computational functional analysis predicted that the protein would be a chaperone effector. By designing and developing drugs and vaccines, we can use this protein as a target for further analysis to combat diseases caused by <i>C. pneumoniae</i>. |
| format | Article |
| id | doaj-art-b6d43d10aa864fdca682c85175d44567 |
| institution | Kabale University |
| issn | 2673-4583 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
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| series | Chemistry Proceedings |
| spelling | doaj-art-b6d43d10aa864fdca682c85175d445672025-08-20T03:26:55ZengMDPI AGChemistry Proceedings2673-45832024-11-011611010.3390/ecsoc-28-20207Bioinformatics Approaches for Molecular Characterization of CT670 Hypothetical Protein of <em>Chlamydia pneumoniae</em>Abu Saim Mohammad Saikat0Tazin Afrose1Umme Saoda2Kazi Nur Uddin3Mir Monir Hossain4Md. Lutful Kabir5Department of Biochemistry and Molecular Biology, Life Science Faculty, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, BangladeshPioneer Dental College and Hospital, Dhaka 1229, BangladeshDepartment of Virology, Dhaka Medical College, Dhaka 1000, BangladeshDepartment of Mathematical Science, Kent State University, Kent, OH 44240, USADepartment of Chemistry, Cleveland State University, Cleveland, OH 44115, USADepartment of Chemistry and Biochemistry, Kent State University, Kent, OH 44240, USAResearchers have linked <i>Chlamydia pneumoniae</i> (<i>C. pneumoniae</i>), a type of bacteria that cannot survive outside of cells and is resistant to Gram staining, to many autoimmune diseases. People hypothesized that <i>C. pneumoniae</i> had a harmful function due to its tendency to inhabit human endothelium and epithelial tissue. This study implemented multiple bioinformatics tools and databases to understand the possible function of the CT670 hypothetical protein of <i>C. pneumoniae</i>. The physicochemical parameters showed the protein’s half-life in different media. These parameters also displayed the protein’s theoretical isoelectric point, aliphatic index, GRAVY value, extinction coefficient, instability index, and the amino acids and atoms that it comprises. Amino acid composition measured the percentage of amino acids present in the selected protein, with glutamate demonstrated as the greatest proportion. Moreover, hydrogen was the most abundant ratio in terms of the atomic composition of the protein, followed by carbon, oxygen, nitrogen, and sulfur. The PPI networks reveal its potential primary and secondary interactions with other proteins. We modeled and assessed the secondary and tertiary structures to understand the nature of the selected protein. Computational functional analysis predicted that the protein would be a chaperone effector. By designing and developing drugs and vaccines, we can use this protein as a target for further analysis to combat diseases caused by <i>C. pneumoniae</i>.https://www.mdpi.com/2673-4583/16/1/10<i>Chlamydia pneumoniae</i>CT670protein–protein interactionsRamachandran plotcomputational chemistry |
| spellingShingle | Abu Saim Mohammad Saikat Tazin Afrose Umme Saoda Kazi Nur Uddin Mir Monir Hossain Md. Lutful Kabir Bioinformatics Approaches for Molecular Characterization of CT670 Hypothetical Protein of <em>Chlamydia pneumoniae</em> Chemistry Proceedings <i>Chlamydia pneumoniae</i> CT670 protein–protein interactions Ramachandran plot computational chemistry |
| title | Bioinformatics Approaches for Molecular Characterization of CT670 Hypothetical Protein of <em>Chlamydia pneumoniae</em> |
| title_full | Bioinformatics Approaches for Molecular Characterization of CT670 Hypothetical Protein of <em>Chlamydia pneumoniae</em> |
| title_fullStr | Bioinformatics Approaches for Molecular Characterization of CT670 Hypothetical Protein of <em>Chlamydia pneumoniae</em> |
| title_full_unstemmed | Bioinformatics Approaches for Molecular Characterization of CT670 Hypothetical Protein of <em>Chlamydia pneumoniae</em> |
| title_short | Bioinformatics Approaches for Molecular Characterization of CT670 Hypothetical Protein of <em>Chlamydia pneumoniae</em> |
| title_sort | bioinformatics approaches for molecular characterization of ct670 hypothetical protein of em chlamydia pneumoniae em |
| topic | <i>Chlamydia pneumoniae</i> CT670 protein–protein interactions Ramachandran plot computational chemistry |
| url | https://www.mdpi.com/2673-4583/16/1/10 |
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